# -*- coding: utf-8 -*-
from datetime import timedelta

from jms.ods.tab.tab_end_piece import jms_ods__tab_end_piece
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

jms_dwd__dwd_tab_end_piece_unprocessed_dt = SparkSqlOperator(
    task_id='jms_dwd__dwd_tab_end_piece_unprocessed_dt',
    email=['lukunming@jtexpress.com','yl_bigdata@yl-scm.com'],
    depends_on_past=True,
    pool_slots=1,
    master='yarn',
    execution_timeout=timedelta(minutes=60),
    name='jms_dwd__dwd_tab_end_piece_unprocessed_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dwd/september/dwd_tab_end_piece_unprocessed_dt/execute.hql',
    executor_cores=1,
    executor_memory='5G',
    num_executors=5,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 10,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead': '1G',  # 堆外内存
          }
)

jms_dwd__dwd_tab_end_piece_unprocessed_dt << jms_ods__tab_end_piece
